Modelling of Image Processing Pipelines in Single-Sensor Digital Cameras

2018 ◽  
pp. 401-424
Author(s):  
Vimal Chauhan

Abstract: The purpose of this paper is to present a study of digital technology approaches to image restoration. This process of image restoration is crucial in many areas such as satellite imaging, astronomical image & medical imaging where degraded images need to be repaired Personal images captured by various digital cameras can easily be manipulated by a variety of dedicated image processing algorithms [2]. Image restoration can be described as an important part of image processing technique. Image restoration has proved to be an active field of research in the present days. The basic objective is to enhance the quality of an image by removing defects and make it look pleasing [2]. In this paper, an image restoration algorithm based on the mean and median calculation of a pixel has been implemented. We focused on a certain iterative process to carry out restoration. The algorithm has been tested on different images with different percentage of salt and pepper noise. The improved PSNR and MSE values has been obtained. Keywords: De-Noising, Image Filtering, Mean Filter & Median Filter, Salt and Pepper Noise, Denoising Techniques, Image Restoration.


2009 ◽  
Author(s):  
Kai Graf ◽  
Olaf Müller

This paper describes a method for the acquisition of the flying shape of spinnakers in a twisted flow wind tunnel. The method is based on photogrammetry. A set of digital cameras is used to obtain high resolution images of the spinnaker from different viewing angles. The images are post-processed using image-processing tools, pattern recognition methods and finally the photogrammetry algorithm. Results are shown comparing design versus flying shape of the spinnaker and the impact of wind velocity and wind twist on the flying shape. Finally some common rules for optimum spinnaker trimming are investigated and examined.


2014 ◽  
Vol 912-914 ◽  
pp. 1379-1382
Author(s):  
Su Ying Li

Powerful digital cameras and image processing software, so that the image of tampering counterfeit technology is developing rapidly, the role of digital images to verify the authenticity and the beginning of forensics technology will become more important. For the most common digital image tampering copy and paste operation, this paper presents a round-based SIFT descriptor operator forensic image copy and paste algorithm that extracts the image to be detected circular feature vector descriptor, and using feature vectors copy and paste the image matching to detect and locate the area. Experiments show that the method of image rotation, zoom, blur, noise and other image processing operations are robust, able to quickly and effectively detect tampering in digital images traces copy and paste operations, and is able to copy and paste the region for accurate positioning.


2006 ◽  
Vol 52 (4) ◽  
pp. 1144-1152 ◽  
Author(s):  
Wen-chung Kao ◽  
Sheng-hong Wang ◽  
Lien-yang Chen ◽  
Sheng-yuan Lin

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